Distributed Photovoltaic Real-Time Output Estimation Based on Graph Convolutional Networks

Author:

Chen Liyue,Hong Daojian,He Xing,Lu Dongqi,Zhang Qian,Xie Nina,Xu Yizhou,Ying Huanghao

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference13 articles.

1. ZHANG A W. The problem of clean energy consumption in the background of carbon neutralization [J]. China Power Enterprise Management, 2021(4): 19–22 (in Chinese).

2. GE L, QIN Y, LIU J, et al. Virtual acquisition method of distributed photovoltaic data based on similarity day and BA-WNN [J]. Electric Power Automation Equipment, 2021, 41(6): 8–14 (in Chinese).

3. ZHAO L, LI J M, AI X M, et al. Analysis on random component extraction and statistical characteristics of photovoltaic power [J]. Automation of Electric Power Systems, 2017, 41(1): 48–56 (in Chinese).

4. CHENG Z, LIU C, LIU L. A method of probabilistic distribution estimation of PV generation based on similar time of day [J]. Power System Technology, 2017, 41(2): 448–455 (in Chinese).

5. PIERRO M, BUCCI F, DE FELICE M, et al. Deterministic and stochastic approaches for day-ahead solar power forecasting [J]. Journal of Solar Energy Engineering, 2017, 139(2): 021010.

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